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melomori [17]
3 years ago
11

the centers of Marathon County Bayfield County and Dodge County all lie along a straight line if Marathon County is equidistant

from Bayfield County and Dodge County what is the distance from Bayfield County to dodge county if the distance from marathon county toDodge County is 487 miles
Mathematics
1 answer:
Evgen [1.6K]3 years ago
5 0
Marathon C is in the middle.

From Marathon C to Dodge C is 487

Then From Marathon C to Bayfield C is also 487

And from Dodge C to Bayfield C is 487 + 487 = 974 miles
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mr Goodwill [35]

Answer:

The rule for the transformation is (x, y) (-x, -y).

The coordinates of L'are (-2,-2).

The coordinates of N'are (-1,-6).

Step-by-step explanation:

Given

L = (2,2)

M = (4,4)

N = (1,6)

Ro=180

Required

Select three options

The rule to this is:

(x,y) \to (-x,-y)

So, we have:

L = (2,2)

L' =(-2,-2)

M = (4,4)

M =(-4,-4)

N = (1,6)

N' = (-1,-6)

7 0
3 years ago
A publisher reports that 65% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is
muminat

Answer:

z=\frac{0.60 -0.65}{\sqrt{\frac{0.65(1-0.65)}{340}}}=-1.933  

The p value for this case can be calculated with this probability:

p_v =2*P(z  

For this case is we use a significance level of 5% we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true proportion is different from 0.65 or 65%. We need to be careful since if we use a value higher than 65 for the significance the result would change

Step-by-step explanation:

Information given

n=340 represent the random sample taken

\hat p=0.60 estimated proportion of readers owned a laptop

p_o=0.65 is the value that we want to test

z would represent the statistic

p_v{/tex} represent the p valueHypothesis to testWe want to check if the true proportion of readers owned a laptop if different from 0.65
Null hypothesis:[tex]p=0.65  

Alternative hypothesis:p \neq 0.65  

The statistic is given by:

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

Replacing we got:

z=\frac{0.60 -0.65}{\sqrt{\frac{0.65(1-0.65)}{340}}}=-1.933  

The p value for this case can be calculated with this probability:

p_v =2*P(z  

For this case is we use a significance level of 5% we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true proportion is different from 0.65 or 65%. We need to be careful since if we use a value higher than 65 for the significance the result would change

5 0
4 years ago
You don’t have to answer both. Will give brainliest if you help.
SCORPION-xisa [38]

9514 1404 393

Answer:

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Step-by-step explanation:

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The first number in both patterns is 27.

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Answer:

Step-by-step explanation:

hope that image helps

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Point C, since pi=around 3.14

Hope that helps :)
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3 years ago
Read 2 more answers
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